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Integrative Data Management for Reproducibility of Microscopy Experiments
| Title: | Integrative Data Management for Reproducibility of Microscopy Experiments |
|---|---|
| Authors: | Sheeba Samuel |
| Source: | 14th Extended Semantic Web Conference (ESWC) 2017 |
| Place: | Portoroz, Slovenia |
| Date: | 2017-05-28 |
| Type: | Conference Paper |
| Abstract: |
Reproducibility is a fundamental factor in every domain of science since it allows scientists to trust data and results. The scientific community is interested in the results of experiments which are reproducible, reusable and understandable. In this paper, we present our work towards reproducibility of scientific experiments taking into account the use case of microscopy. We aim to analyze the components that are vital for reproducibility and to develop an integrative data management platform for scientific experiments. In this article, we show the use of Semantic Web technologies to conserve an experiment environment and its workflow. This allows scientists to ask queries related to an experiment and compare results. We present our approach for scientists to represent, search and share their experimental data and results to the scientific community for better data interoperability and reuse. Our overall goal is to extend data management and Semantic Web technologies to enable reproducibility. |
| URL: | https://link.springer.com/chapter/10.1007/978-3-319-58451-5_19 |
| BibTex: |
@inproceedings{DBLP:conf/esws/Samuel17,
author = {Sheeba Samuel},
title = {Integrative Data Management for Reproducibility of Microscopy Experiments},
booktitle = {The Semantic Web - 14th International Conference, {ESWC} 2017, Portoro{\v{z}},
Slovenia, May 28 - June 1, 2017, Proceedings, Part {II}},
pages = {246--255},
year = {2017},
crossref = {DBLP:conf/esws/2017-2},
url = {https://doi.org/10.1007/978-3-319-58451-5_19},
doi = {10.1007/978-3-319-58451-5_19},
timestamp = {Mon, 15 May 2017 12:38:23 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/conf/esws/Samuel17},
bibsource = {dblp computer science bibliography, http://dblp.org}
} |